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Models, Algorithms and Technologies for Network Analysis: NET 2014, Nizhny Novgorod, Russia, May 2014 de Valery A. Kalyagin

Models, Algorithms and Technologies for Network Analysis: NET 2014, Nizhny Novgorod, Russia, May 2014: Springer Proceedings in Mathematics & Statistics, cartea 156

Editat de Valery A. Kalyagin, Petr A. Koldanov, Panos M. Pardalos
en Limba Engleză Hardback – 21 oct 2016
The contributions in this volume cover a broad range of topics including maximum cliques, graph coloring, data mining, brain networks, Steiner forest, logistic and supply chain networks. Network algorithms and their applications to market graphs, manufacturing problems, internet networks and social networks are highlighted. The "Fourth International Conference in Network Analysis," held at the Higher School of Economics, Nizhny Novgorod in May 2014, initiated joint research between scientists, engineers and researchers from academia, industry and government; the major results of conference participants have been reviewed and collected in this Work. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis.
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Specificații

ISBN-13: 9783319296067
ISBN-10: 331929606X
Pagini: 306
Ilustrații: XVI, 340 p. 107 illus., 82 illus. in color.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.68 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Springer Proceedings in Mathematics & Statistics

Locul publicării:Cham, Switzerland

Cuprins

Part I: Optimization in Networks.- Maximally Diverse Grouping and Clique Partitioning Problems with Skewed General Variable Neighborhood Search.- Test Generation for Digital Circuits Based on Continuous Approach to Circuit Simulation Using Different Continuous Extensions of Boolean Functions.- König graphs for 4-paths. Wided cycles.- Optimization Algorithms for Shared Groups in Multicast Routing.- Minimizing the Fuel Consumption of a Multiobjective Vehicle Routing Problem Using the Parallel Multi-Start NSGA II Algorithm.- Manifold Location Routing Problem with Applications in Network Theory.- A Branch and Bound Algorithm for the Cell Formation Problem.- Part II: Network Data Mining.- Hybrid Community Detection in Social Networks.- Spectral Properties of Financial Correlation Matrices.- Statistical Uncertainty of Minimum Spanning Tree in Market Network.- Identification of Cliques and Independent Sets in Pearson and Fechner Correlations Networks.- Testing the Stationarity of Sign Coincidence in Market Network.- Synchronization and Network Measures in a Concussion EEG Paradigm.- Video-Based Pedestrian Detection on Mobile Phones with the Cascade Classifiers.- Clustering in Financial Markets.- Part III: Economics and Other Applications.- A Semantic Solution for Seamless Data Exchange in Supply Networks.- Key Borrowers Detected by the Intensities of Their Short-Range Interactions.- Langmuir Solitons in Plasma with Inhomogeneous Electron Temperature and Space Stimulated Scattering on Damping Ion-sound Waves.- Equilibria in Networks with Production and Knowledge Externalities.

Textul de pe ultima copertă

The contributions in this volume cover a broad range of topics including maximum cliques, graph coloring, data mining, brain networks, Steiner forest, logistic and supply chain networks. Network algorithms and their applications to market graphs, manufacturing problems, internet networks and social networks are highlighted. The "Fourth International Conference in Network Analysis," held at the Higher School of Economics, Nizhny Novgorod in May 2014, initiated joint research between scientists, engineers and researchers from academia, industry and government; the major results of conference participants have been reviewed and collected in this Work. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis.

Caracteristici

Reveals network analysis as a powerful method used to solve manufacturing, transportation, economic, and other applied problems Contains theoretical results and computer implementations for proposed algorithms Presents solid experimental results in network analysis